Agnostiq, founded in 2018, addresses the challenge faced by researchers in accessing high-performance computing (HPC) resources by offering the Covalent framework, which simplifies the design and execution of large-scale compute jobs across cloud platforms and on-premises clusters without requiring deep technical expertise. By integrating modern cloud technology with traditional HPC, Covalent enables researchers to create workflows that leverage cloud computing alongside specialized GPU providers, enhancing scalability and cost-effectiveness. The company emphasizes open, resource-neutral platforms and has adopted MongoDB Atlas for its multi-cloud capabilities, facilitating seamless data movement between clouds, a necessity heightened by the surge in generative AI research. MongoDB's services, such as the Atlas database, provide Agnostiq with scalable and secure data management features essential for HPC and AI applications. As part of its focus on AI model development, Agnostiq launched Function Serve, offering comprehensive serverless AI model training and deployment solutions. Looking ahead, Agnostiq aims to meet the rising demand for generative AI capabilities by exploring further enterprise and hybrid-cloud deployments, leveraging MongoDB Atlas's capabilities to enhance interoperability and client engagement across existing cloud platforms.